Lead DevOps Engineer (Robust background in Google Cloud Platform (GCP) | RedHat OpenShift )

India
Permanent
Full-time

2 months ago

Before you apply to a job, select your language preference from the options available at the top right of this page.Explore your next opportunity at a Fortune Global 500 organization. Envision innovative possibilities, experience our rewarding culture, and work with talented teams that help you become better every day. We know what it takes to lead UPS into tomorrow—people with a unique combination of skill + passion. If you have the qualities and drive to lead yourself or teams, there are roles ready to cultivate your skills and take you to the next level.Job Description:Looking for an experienced GCP Cloud/DevOps Engineer and or OpenShift to design, implement, and manage cloud infrastructure and services across multiple environments. This role requires deep expertise in Google Cloud Platform (GCP) services, DevOps practices, and Infrastructure as Code (IaC). Candidate will be deploying, automating, and maintaining high-availability systems, and implementing best practices for cloud architecture, security, and DevOps pipelines.REQUIREMENTS

Bachelor's or master's degree in computer science, Information Technology, or a similar field
Must have 10 + years of extensive experience in designing, implementing, and maintaining applications on GCP and OpenShift
Comprehensive expertise in GCP services such as GKE, Cloudrun, Functions, Cloud SQL, Firestore, Firebase, Apigee, GCP App Engine, Gemini Code Assist, Vertex AI, Spanner, Memorystore, Service Mesh, and Cloud Monitoring
Solid understanding of cloud security best practices and experience in implementing security controls in GCP
Thorough understanding of cloud architecture principles and best practices
Experience with automation and configuration management tools like Terraform and a sound understanding of DevOps principles
Proven leadership skills and the ability to mentor and guide a technical team

Key Responsibilities:Cloud Infrastructure Design and Deployment:- Architect, design, and implement scalable, reliable, and secure solutions on GCP.- Deploy and manage GCP services in both development and production environments, ensuring seamless integration with existing infrastructure.- Implement and manage core services such as BigQuery, Datafusion, Cloud Composer (Airflow), Cloud Storage, Data Fusion, Compute Engine, App Engine, Cloud Functions and more.Infrastructure as Code (IaC) and Automation
- Develop and maintain infrastructure as code using Terraform or CLI scripts to automate provisioning and configuration of GCP resources.
- Establish and document best practices for IaC to ensure consistent and efficient deployments across environments.DevOps and CI/CD Pipeline Development:
- Create and manage DevOps pipelines for automated build, test, and release management, integrating with tools such as Jenkins, GitLab CI/CD, or equivalent.
- Work with development and operations teams to optimize deployment workflows, manage application dependencies, and improve delivery speed.Security and IAM Management:
- Handle user and service account management in Google Cloud IAM.
- Set up and manage Secrets Manager and Cloud Key Management for secure storage of credentials and sensitive information.
- Implement network and data security best practices to ensure compliance and security of cloud resources.Performance Monitoring and Optimization:

Monitoring & Security: Set up observability tools like Prometheus, Grafana, and integrate security tools (e.g., SonarQube, Trivy).
Networking & Storage: Configure DNS, networking, and persistent storage solutions in Kubernetes.

- Set up monitoring and logging (e.g., Cloud Monitoring, Cloud Logging, Error Reporting) to ensure systems perform optimally.
- Troubleshoot and resolve issues related to cloud services and infrastructure as they arise.Workflow Orchestration:- Orchestrate complex workflows using Argo Workflow Engine.
-Containerization: Work extensively with Docker for containerization and image management.
- Optimization: Troubleshoot and optimize containerized applications for performance and security.Technical Skills:
- Expertise with GCP and OCP (OpenShift) services, including but not limited to Compute Engine, Kubernetes Engine (GKE), BigQuery, Cloud Storage, Pub/Sub, Datafusion, Airflow, Cloud Functions, and Cloud SQL.
- Proficiency in scripting languages like Python, Bash, or PowerShell for automation.
- Familiarity with DevOps tools and CI/CD processes (e.g. GitLab CI, Cloud Build, Azure DevOps, Jenkins)Employee Type:
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